Community analysis in Slovenian labour network 2010-2020. (15th December 2022)

• Record Type: Journal Article
• Authors: Andonovikj, Viktor; Boskoski, Pavle; Evkoski, Bojan; Redek, Tjaša; Mileva Boshkoska, Biljana
• Is Part Of: Journal of decision systems. Volume 31(2022)Supplement 1
• Page Start: 308
• Page End: 318
• Publication Date: 2022-12-15
• Subjects: Labour market -- directed network -- community detection -- Ensemble Louvain; Decision support systems -- Periodicals; Management information systems -- Periodicals; Information resources management -- Periodicals; Information storage and retrieval systems -- Periodicals; Management -- Communication systems -- Periodicals; Decision support systems; Information resources management; Information storage and retrieval systems; Management -- Communication systems; Management information systems; Periodicals; 658.40305
• DOI: 10.1080/12460125.2022.2070944
• Languages: English
• ISSNs: 1246-0125

Abstract

ABSTRACT: There is little evidence on the right approach on how to delineate the sub-networks in a labour market. The subject of research in this paper is computational influence identification of the labour force transitions between different professional occupations in the Slovenian labour network from 2010 to 2020. We use community detection algorithm to identify occupation groups and apply influence analysis on the Slovenian labour network from 2010 to 2020. This directly supports the decision-makers and employment services in identifying job opportunities for job-seekers based. The main conribution is using influence analysis to detect occupations and communities that had the most significant impact on the Slovenian labour market. The research is the first work to successfully apply community and influence analysis in the Slovenian labour network to the best of our knowledge. The paper carries several important implications, primarily highlighting the usage of existing data to increase employment levels.